The Next Platform - The Next Platform
网页Over the past two years, enterprises have tried to keep up with the staggering pace of the innovation with generative AI, mapping out ways to implement the emerging technology into their operations in hopes of saving time and money, increasing productivity, improving customer service and support, and driving efficiencies. However, ….
Inside Tesla’s Innovative And Homegrown “Dojo” AI Supercomputer
网页2022年8月31日 · That, in a nutshell, is what Tesla’s Project Dojo chip, interconnect, and supercomputer effort is all about. At the Hot Chips 34 conference, the chip, system, and software engineers who worked on the Dojo supercomputer unveiled many of the architectural features of the machine for the first time, and promised to talk about the performance of the Dojo system at the Tesla AI Day 2 event on ...
This Is What The Most Powerful Server In The World Looks Like
网页2021年9月8日 · Here is what matters. The Power p5 595 with 64 Power5 cores in 32 sockets running at 1.9 GHz had a rating of 306.21 on IBM’s Relative Performance (rPerf) online transaction performance benchmark test. The 240-core, 16-socket Power E1080 has an rPerf rating of 7,998.6.
TACC Fires Up “Vista” Bridge To Future “Horizon” Supercomputer
网页2024年9月4日 · We talked about the hybrid CPU-GPU machine, dubbed “Vista,” back in January, when we also looked at the new datacenter that TACC was having built to house the future “Horizon” system, which aimed to have at least 10X the application performance of the current “Frontera” all-CPU supercomputer. Frontera, which cost $60 million and was ...
Stacking Up Intel Gaudi Against Nvidia GPUs For AI - The Next …
网页2024年6月13日 · An Nvidia H100 system configured as we outlined above probably costs somewhere around $375,000, which is $46,875 per petaflops. The Gaudi 3 system with the same configuration would run around $275,000, at a cost of $18,733 per petaflops. That is 2.5X better price/performance than the Nvidia system.
Inside Amazon’s Graviton3 Arm Server Processor - The Next Platform
网页2022年1月4日 · Inside Amazon’s Graviton3 Arm Server Processor. January 4, 2022 Timothy Prickett Morgan Compute 16. The Graviton family of Arm server chips designed by the Annapurna Labs division of Amazon Web Services is arguably the highest volume Arm server chips the datacenter market today, and they have precisely one – and only one – …
Why AMD Spent $4.9 Billion To Buy ZT Systems - The Next Platform
网页2024年8月19日 · Here is the situation as Norrod explains it to us, and we are giving you the full quote so you understand the case that AMD is making for spending $4.9 billion for ZT Systems, which works out to $4.45 million per system engineer. (Some of that will be offset by the spinout of the manufacturing operations, of course.) Here is how Norrod put it:
Nvidia Unfolds GPU, Interconnect Roadmaps Out To 2027
网页2024年6月2日 · Nvidia will also kick out a higher radix Spectrum-X800 Ethernet switch in 2025, perhaps with six ASICs in the box to create a non-blocking architecture as has been commonly done with other switches to double up the aggregate bandwidth and therefore doubling up either the bandwidth per port or the number of ports in a switch.. In 2026, we see the “Rubin” R100 GPU, which was formerly called ...
Deep Dive On Google’s Exascale TPUv4 AI Systems - The Next …
网页2022年10月11日 · It seems like we have been talking about Google’s TPUv4 machine learning accelerators for a long time, and that is because we have been. And today, at the Google Cloud Next 2022 conference, the search engine, advertising, video streaming, enterprise application, and cloud computing giant will finally make its fourth generation – and most powerful and scalable – Tensor Processing Units ...
Key Hyperscalers And Chip Makers Gang Up On Nvidia’s NVSwitch …
网页2024年5月30日 · The generative AI revolution is making strange bedfellows, as revolutions and emerging monopolies that capitalize on them, often do. The Ultra Ethernet Consortium was formed in July 2023 to take on Nvidia’s InfiniBand high performance interconnect, which has quickly and quite profitably become the de facto standard for linking GPU accelerated nodes to each other.